Job Description Summary

We are looking for an AI/ML Software Principal Engineer to drive the design and delivery of industrial-grade software solutions for external customers within our Grid Solutions business. This role combines product ownership, software architecture expertise, and a high-level understanding of AI/ML concepts, ensuring robust, scalable, and customer-ready solutions.
Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business.

As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.

Job Description

Roles & Responsibilities

• Lead the end-to-end product development lifecycle for industrial software solutions, from concept to deployment, ensuring alignment with customer requirements and operational constraints.
• Define and oversee software architecture for complex industrial environments, guaranteeing reliability, scalability, and compliance with industry standards.
• Collaborate cross-functionally with engineering, product management, and commercial teams to deliver solutions that meet internal and external customer expectations.
• Integrate AI/ML capabilities at a conceptual level, ensuring the team understands and applies relevant algorithms where appropriate with safety-by-design, and work with data scientists.
• Act as a technical leader, providing strategic direction and mentoring team members.

Technical Leadership

• Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
• Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
• Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
• Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
• Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
• Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
• Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits.

Engineering/Technology Practices

• Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one’s own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
• Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
• Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.

Competency Governance

• Develop technical competencies by establishing and delivering structured technical training schemes within one’s own business lines.
• Support Consulting Engineers in reviewing Engineering competency frameworks specific to one’s own business line.

People Development

• Actively support Consulting Engineers with staff development & succession planning.
• Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer.
• Actively mentor and coach identified high potential Engineering talents within one’s business lines.

Required Qualifications/Experience

• Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
• At least 10 years of experience in an engineering capacity
• Proven experience delivering software products for external customers (not limited to internal IT systems).
• Strong background in software architecture and design for industrial environments.

Desired Characteristics

• Experience with Machine Learning technologies, and software systems architecture
• Experience working in an industrial environment, with safety approach
• Ability to work across organizations in a matrix environment
• Preferably having taken a Senior Engineer role
• Strong oral and written communication skills
• Strong interpersonal, responsive and leadership skills
• Problem analysis and resolution skills
• Able to pursue Engineering integrity in adverse conditions
• Able to interface effectively with most levels of the organization
• Lean experience preferred

Additional Information

#LI-Remote - This is a remote position